An intelligent approach for load frequency control based on a proportional-integral-derivative (PID) controller, referred to as an intelligent PID (IPID) controller, is proposed to enhance the frequency stability of a...
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This paper introduces the basic concepts of edge computing, the history of the rise of edge computing, and the common application areas of edge computing. It focuses on analyzing the technical advantages of edge compu...
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The proceedings contain 104 papers. The topics discussed include: intelligent traffic signal management system;an automated pothole detection and repair system for effective road maintenance and safety;on-board data a...
ISBN:
(纸本)9798331507541
The proceedings contain 104 papers. The topics discussed include: intelligent traffic signal management system;an automated pothole detection and repair system for effective road maintenance and safety;on-board data acquisition system for spacecraft;cyber-physical modeling and simulation of four-axis articulated robot;an intelligent system for prediction of depression based on facial emotions and textual data;evaluating the impact of dataset variability on Malayalam emotion detection system;an automated smart incubator system for poultry farms and hatcheries;image-driven face presentation attack detection in biometric systems;and soft computing approaches in enhancing healthcare data security using deep neural networks and reversible data hiding.
In recent years, with the increasing use of educational technology and online learning platforms, there has been a growing interest in developing intelligentsystems that can automatically predict the knowledge points...
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Students often struggle with basic programming tasks after their first programming course. Adaptive tutoring systems can support students’ practice by generating tasks, providing feedback, and evaluating students’ p...
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There have been several developments in renewable resources, standby sources of energy, and storage technologies. Because renewable sources are inconsistent, the best method to ensure supply continuity is to combine t...
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This research focuses on the evolving field of hybrid computing, which combines traditional computing architectures with advanced computational paradigms like quantum computing, neuromorphic computing, or cloud-edge c...
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ISBN:
(纸本)9798331515911
This research focuses on the evolving field of hybrid computing, which combines traditional computing architectures with advanced computational paradigms like quantum computing, neuromorphic computing, or cloud-edge computing. Hybrid computing involves integrating multiple computing models or systems to leverage their complementary strengths. For example, combining classical computing with quantum or neuromorphic approaches to solve complex problems more efficiently. The goal is to enhance computational power, increase efficiency, and tackle problems that are difficult for traditional computing models alone. Emerging technologies, including quantum computing, machine learning, and AI, are driving the need for hybrid systems. These technologies enable the handling of more complex computations that classical systems struggle with, such as optimization, simulation, and cryptography. The integration of cloud and edge computing is also central to hybrid computing, enabling decentralized computation and processing closer to data sources. Combining different computing paradigms requires seamless communication and integration between systems, which is a significant technical challenge. Main challenging areas are scalability, software and hardware compatibility, energy efficiency and security. There is a need for standard protocols and frameworks to enable smoother integration of various computingsystems. New algorithms that can take advantage of hybrid architectures need to be developed. Depend on applications significant advancements in hardware, including quantum processors, neuromorphic chips, and integrated hybrid processors required. The rise of hybrid computing will also bring ethical concerns, such as the impact on jobs, privacy, and inequality in access to advanced technologies. The study concludes by emphasizing the transformative potential of hybrid computing while acknowledging the technical, economic, and societal hurdles that need to be overcome. It highlights
intelligent Transportation systems (ITS), particularly vehicular ad-hoc networks, play a crucial role in improving road safety and traffic efficiency. However, transmitting vehicle location and identity data poses sig...
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The rapid evolution of malware necessitates advanced detection methodologies to address the limitations of traditional signature-based approaches, which often fail against zero-day malware and polymorphic attacks. Thi...
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Cybersquatting, the unauthorized registration of domain names mimicking established trademarks, threatens online identity management and intellectual property rights. This study examines the legal and regulatory frame...
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